Misinterpretation
Category: When Analytics Does Not Work
Because analytical engines don't actually know what they are watching, they may see one thing and interpret it as something else. For example, looking someone in the eyes is taken as a sign that they are paying attention. And so that's how an AI interprets someone looking straight at it. The opacity of AI leads people to create a false impression, just in case the AI is watching. But it might just be the result of a student fooling the system. For example, students being interviewed by AI are told to "raise their laptop to be eye level with the camera so it appears they're maintaining eye contact, even though there isn't a human on the other side of the lens" (Metz, 2020). The result is that the AI misinterprets laptop placement as 'paying attention'.
Examples and Articles
AI and the Duck / Rabbit illusion
Results : Google Cloud’s Vision API was :
• 95% confident it’s a bird
• 80% confident it’s a waterfowl
• 73% confident it’s a duck
Rabbit was, however, 100% absent.
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